328,502 research outputs found
Moeller, C W, 208892
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/428186Surname: Moeller. Given Name(s) or Initials: C W. Military Service Number or Last Known Location: 208892. Prisoner of War Enquiry Card Index Number: M/762. Division Enquiry: [No Division recorded]. Rank: PTE. Unit: Malaya326942
Item: [2016.0049.60448] "Moeller, C W, 208892
Christian Seipel /Peter Rieker: Integrative Sozialforschung. Konzepte und Methoden der qualitativen und quantitativen empirischen Forschung. Weinheim/München: Juventa 2003 (280 S.) [Rezension]
No full textRezension von: Christian Seipel /Peter Rieker: Integrative Sozialforschung. Konzepte und Methoden der qualitativen und quantitativen empirischen Forschung. Weinheim/München: Juventa 2003 (280 S.; ISBN 3-7799-1710-6; 19,50 EUR)
Bereswill, Mechthild / Rieker, Peter / Schnitzer, Anna (Hg.): Migration und Geschlecht. Theoretische Annäherungen und empirische Befunde. Weinheim / Basel: Beltz 2012. [Rezension]
No full textRezension von: Mechthild Bereswill / Peter Rieker / Anna Schnitzer (Hrsg.): Migration und Geschlecht. Theoretische Annäherungen und empirische Befunde. Weinheim / Basel: Beltz 2012, 238 S. ISBN 978-3-7799-2305-
Individualità, massa, articolazione sociale: Arthur Moeller van den Bruck lettore di Nietzsche
No full textLa ricezione di Nietzsche nella Rivoluzione conservatrice tedesca procede attraverso tre diverse letture. Arthur Moeller van den Bruck sposta Nietzsche dall'ambito estetico a quello della metafisica post-darwinista; per farne, infine, un socialista nazionale profeta della riscossa tedesca
Joint probabilistic forecasting of wind speed and temperature using Bayesian model averaging
No full textBaran S, Möller AC. Joint probabilistic forecasting of wind speed and temperature using Bayesian model averaging. Environmetrics. 2015;26(2):120-132
Fruiting Plant Number in Long-term Study of Population Dynamics of Clarkia xantiana ssp. xantiana at 35 Populations in the Kern River Valley, California, USA from 2006 to 2017
No full textDatafile (Data File Name: “Datafile_Fruiting_Plant_Density.csv) describes the fruiting plant number in quadrats followed on permanent transects for long-term demographic study of Clarkia xantiana xantiana from 2006 to 2017.
At each site, in each year, fruiting plant number was counted in between 30 and 150 0.5 m2 quadrats distributed haphazardly throughout site. The number of quadrats depends on the areal extent of the population. For the 20 populations included in the detailed demography studies, data from 30 permanent plots are included.Documentation of data collected on fruiting plant number per 0.5m2 in long-term study of population dynamics of Clarkia xantiana ssp. xantiana at 35 populations in the Kern River Valley, California, USA from 2006 to 2017National Science FoundationMoeller, David; Geber, Monica A; Eckhart, Vince M. (2017). Fruiting Plant Number in Long-term Study of Population Dynamics of Clarkia xantiana ssp. xantiana at 35 Populations in the Kern River Valley, California, USA from 2006 to 2017. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/D6FM2D
Site Characteristics and Climate in Long-Term Study of Population Dynamics of Clarkia xantiana ssp. xantiana at 35 Sites in the Kern River Valley, California, USA from 2006 to 2017
No full textSite locations and environmental variables of 35 populations of Clarkia xantiana ssp. xantiana where plant density and fruit production have been measured in a long term demographic study. The datafile (Data File Name: Datafile_Site_Environment.csv) details the full names of the sites, locality information, lat/long locations, slope, elevation, soil parent material, and radiation factors. The README file describes all of the column names in detail.Site locations and environmental variables of 35 populations of Clarkia xantiana ssp. xantiana where plant density and fruit production have been measured in a long term demographic study.National Science FoundationMoeller, David A; Geber, Monica A; Eckhart, Vince M. (2017). Site Characteristics and Climate in Long-Term Study of Population Dynamics of Clarkia xantiana ssp. xantiana at 35 Sites in the Kern River Valley, California, USA from 2006 to 2017. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/D62D52
Fruit Production Per Plant in Long-Term Study of Population Dynamics of Clarkia xantiana ssp. xantiana at 35 Populations in the Kern River Valley, California, USA from 2006 to 2017
No full textThe dataset (Data File Name: “Datafile_Fruit_Number_per_Plant.csv”) describes the fruit production per plant for up to 150 plants for each of the 35 populations followed in a long-term demographic study of Clarkia xantiana xantiana in Ker Co., CA.
At each site, in each year, the number of fruits per plant was recorded on up to 150 plants per population. From 2006-2012, fruit number per plant was scored as the sum of undamaged fruits plus the “undamaged fruit equivalents” of damaged fruit. For example, if a plant had 2 damaged fruits, where half of each fruit was missing, the number of undamaged fruit equivalents was scored as 1, and added to the number of undamaged fruits. From 2013-2017, undamaged and damaged fruits were scored separately.Documentation of data collected on fruit production per plant in long-term study of population dynamics of Clarkia xantiana ssp. xantiana at 35 populations in the Kern River Valley, California, USA from 2006 to 2017.National Science FoundationMoeller, David A; Geber, Monica A; Eckhart, Vince M. (2017). Fruit Production Per Plant in Long-Term Study of Population Dynamics of Clarkia xantiana ssp. xantiana at 35 Populations in the Kern River Valley, California, USA from 2006 to 2017. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/D69W9K
Data for: Flat specific energy performance gap – how to address internal heat shifts in multi-apartment dwellings
No full textVariance Inflation factors for the OLS regression as presented in Table 5 and stepwise OLS regressions for October to April
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